{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BDOHZL2EDYPELQD3MVPKVQTFJU","short_pith_number":"pith:BDOHZL2E","canonical_record":{"source":{"id":"2506.05607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T21:40:21Z","cross_cats_sorted":[],"title_canon_sha256":"9f88d5bfa452a1898039c503a85c70cb22bbd6e32b792d8bddff367b72d0b1a2","abstract_canon_sha256":"cc7975f6b2b4d433f6921785d8f9f9e75b7128a768db061774ff54e22700555c"},"schema_version":"1.0"},"canonical_sha256":"08dc7caf441e1e45c07b655eaac2654d15202b55e56ad412ec0a755b3c6855c9","source":{"kind":"arxiv","id":"2506.05607","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05607","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05607v1","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05607","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"pith_short_12","alias_value":"BDOHZL2EDYPE","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"pith_short_16","alias_value":"BDOHZL2EDYPELQD3","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"pith_short_8","alias_value":"BDOHZL2E","created_at":"2026-07-05T11:17:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BDOHZL2EDYPELQD3MVPKVQTFJU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.05607","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T21:40:21Z","cross_cats_sorted":[],"title_canon_sha256":"9f88d5bfa452a1898039c503a85c70cb22bbd6e32b792d8bddff367b72d0b1a2","abstract_canon_sha256":"cc7975f6b2b4d433f6921785d8f9f9e75b7128a768db061774ff54e22700555c"},"schema_version":"1.0"},"canonical_sha256":"08dc7caf441e1e45c07b655eaac2654d15202b55e56ad412ec0a755b3c6855c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:17:06.747279Z","signature_b64":"BenudzFN3AsDB1Kw6Pe4DAqNbuMXlXKQ7qnj0xKaVS2ym6eYB9aOcOGnGjMoXl3ZSKML1YXtyYv0yf8M0B3NCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"08dc7caf441e1e45c07b655eaac2654d15202b55e56ad412ec0a755b3c6855c9","last_reissued_at":"2026-07-05T11:17:06.746792Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:17:06.746792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.05607","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UlrASFNIMC9UVGHd3JDTy+VK062QOBik/EEAASb189/SPJIGMmhbmNrsZB/P44b9cAP1WAqBbIyn6AdMK7TFCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:49:32.623457Z"},"content_sha256":"cce26f4602b07d295061502116b4420c8030cd8c64e57ad5f7c1375f86102c3a","schema_version":"1.0","event_id":"sha256:cce26f4602b07d295061502116b4420c8030cd8c64e57ad5f7c1375f86102c3a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BDOHZL2EDYPELQD3MVPKVQTFJU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Controlled Data Rebalancing in Multi-Task Learning for Real-World Image Super-Resolution","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fangfang Wu, Guangming Shi, Jianqiao Luo, Mingtao Feng, Shuchen Lin, Weisheng Dong, Yaonan Wang","submitted_at":"2025-06-05T21:40:21Z","abstract_excerpt":"Real-world image super-resolution (Real-SR) is a challenging problem due to the complex degradation patterns in low-resolution images. Unlike approaches that assume a broadly encompassing degradation space, we focus specifically on achieving an optimal balance in how SR networks handle different degradation patterns within a fixed degradation space. We propose an improved paradigm that frames Real-SR as a data-heterogeneous multi-task learning problem, our work addresses task imbalance in the paradigm through coordinated advancements in task definition, imbalance quantification, and adaptive d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05607","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.05607/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:17:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4n1DrjuWRV7GxMor58lOEGJdVxn7m/+p9H4HfVOhJSwq0HNi1+f8/VF+faIaOhvolb/UZyTKoku7MfJ7UyD7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T18:49:32.623982Z"},"content_sha256":"a03db699ca6e0d1ebde27cf61a3d2bf39a3a1e2f3988ad6bcb1173b0e666a69f","schema_version":"1.0","event_id":"sha256:a03db699ca6e0d1ebde27cf61a3d2bf39a3a1e2f3988ad6bcb1173b0e666a69f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BDOHZL2EDYPELQD3MVPKVQTFJU/bundle.json","state_url":"https://pith.science/pith/BDOHZL2EDYPELQD3MVPKVQTFJU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BDOHZL2EDYPELQD3MVPKVQTFJU/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-10T18:49:32Z","links":{"resolver":"https://pith.science/pith/BDOHZL2EDYPELQD3MVPKVQTFJU","bundle":"https://pith.science/pith/BDOHZL2EDYPELQD3MVPKVQTFJU/bundle.json","state":"https://pith.science/pith/BDOHZL2EDYPELQD3MVPKVQTFJU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BDOHZL2EDYPELQD3MVPKVQTFJU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BDOHZL2EDYPELQD3MVPKVQTFJU","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"cc7975f6b2b4d433f6921785d8f9f9e75b7128a768db061774ff54e22700555c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T21:40:21Z","title_canon_sha256":"9f88d5bfa452a1898039c503a85c70cb22bbd6e32b792d8bddff367b72d0b1a2"},"schema_version":"1.0","source":{"id":"2506.05607","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.05607","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"arxiv_version","alias_value":"2506.05607v1","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.05607","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"pith_short_12","alias_value":"BDOHZL2EDYPE","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"pith_short_16","alias_value":"BDOHZL2EDYPELQD3","created_at":"2026-07-05T11:17:06Z"},{"alias_kind":"pith_short_8","alias_value":"BDOHZL2E","created_at":"2026-07-05T11:17:06Z"}],"graph_snapshots":[{"event_id":"sha256:a03db699ca6e0d1ebde27cf61a3d2bf39a3a1e2f3988ad6bcb1173b0e666a69f","target":"graph","created_at":"2026-07-05T11:17:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.05607/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Real-world image super-resolution (Real-SR) is a challenging problem due to the complex degradation patterns in low-resolution images. Unlike approaches that assume a broadly encompassing degradation space, we focus specifically on achieving an optimal balance in how SR networks handle different degradation patterns within a fixed degradation space. We propose an improved paradigm that frames Real-SR as a data-heterogeneous multi-task learning problem, our work addresses task imbalance in the paradigm through coordinated advancements in task definition, imbalance quantification, and adaptive d","authors_text":"Fangfang Wu, Guangming Shi, Jianqiao Luo, Mingtao Feng, Shuchen Lin, Weisheng Dong, Yaonan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T21:40:21Z","title":"Controlled Data Rebalancing in Multi-Task Learning for Real-World Image Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.05607","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:cce26f4602b07d295061502116b4420c8030cd8c64e57ad5f7c1375f86102c3a","target":"record","created_at":"2026-07-05T11:17:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"cc7975f6b2b4d433f6921785d8f9f9e75b7128a768db061774ff54e22700555c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T21:40:21Z","title_canon_sha256":"9f88d5bfa452a1898039c503a85c70cb22bbd6e32b792d8bddff367b72d0b1a2"},"schema_version":"1.0","source":{"id":"2506.05607","kind":"arxiv","version":1}},"canonical_sha256":"08dc7caf441e1e45c07b655eaac2654d15202b55e56ad412ec0a755b3c6855c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"08dc7caf441e1e45c07b655eaac2654d15202b55e56ad412ec0a755b3c6855c9","first_computed_at":"2026-07-05T11:17:06.746792Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:17:06.746792Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BenudzFN3AsDB1Kw6Pe4DAqNbuMXlXKQ7qnj0xKaVS2ym6eYB9aOcOGnGjMoXl3ZSKML1YXtyYv0yf8M0B3NCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:17:06.747279Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.05607","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cce26f4602b07d295061502116b4420c8030cd8c64e57ad5f7c1375f86102c3a","sha256:a03db699ca6e0d1ebde27cf61a3d2bf39a3a1e2f3988ad6bcb1173b0e666a69f"],"state_sha256":"7f39ac0931356cc337a8513b9dfd869d907f816ca561def9e5c9550f1e3d8684"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7MVBGVxA+HkqgLzJopTZbk6mU9s8mLoXQjEnD00Zib8SHPjEoKCiu/2rcJvIbfUVyWk26avyFpJgrznZbnLIAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T18:49:32.627722Z","bundle_sha256":"27a497c6bc62b48eff5bdb6b05331de58f08e55bebe643ba6c3b89203c30e8c7"}}